CVE-2025-2915: Heap-based Buffer Overflow in HDF5
A vulnerability classified as problematic was found in HDF5 up to 1.14.6. This vulnerability affects the function H5F__accum_free of the file src/H5Faccum.c. The manipulation of the argument overlap_size leads to heap-based buffer overflow. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-2915 is a heap-based buffer overflow vulnerability identified in the HDF5 library versions 1.14.0 through 1.14.6. The flaw exists in the function H5F__accum_free within the source file src/H5Faccum.c. Specifically, the vulnerability arises due to improper handling of the argument overlap_size, which can be manipulated to cause a heap overflow condition. This type of vulnerability can lead to memory corruption, potentially allowing an attacker to execute arbitrary code, cause a denial of service, or compromise data integrity. However, exploitation requires local access with at least low privileges (PR:L) and does not require user interaction or elevated privileges. The CVSS 4.0 base score is 4.8, indicating a medium severity level. The attack vector is local, meaning remote exploitation is not feasible without prior access. No known exploits are currently reported in the wild, but the exploit details have been publicly disclosed, increasing the risk of future exploitation. The vulnerability affects a widely used scientific data management library, HDF5, which is commonly employed in research, engineering, and scientific computing environments for storing and managing large and complex data sets. Given the local attack requirement, the threat is more relevant in environments where untrusted users have local system access or where multi-user systems run HDF5-based applications. The absence of patches in the provided data suggests that users should monitor vendor updates closely and apply fixes once available. Overall, this vulnerability poses a moderate risk primarily through local exploitation leading to potential memory corruption and system compromise in affected HDF5 deployments.
Potential Impact
For European organizations, the impact of CVE-2025-2915 depends largely on the extent to which HDF5 is used within their IT and research infrastructures. HDF5 is prevalent in scientific research institutions, universities, engineering firms, and industries dealing with large-scale data such as aerospace, automotive, and pharmaceuticals. A successful local exploit could allow an attacker with limited access to escalate privileges, execute arbitrary code, or disrupt data integrity, potentially compromising sensitive research data or critical operational systems. This could lead to intellectual property theft, disruption of scientific experiments, or loss of trust in data accuracy. In multi-user environments common in European research centers and universities, the risk is heightened if untrusted users share systems with HDF5 applications. However, the local attack vector limits the threat from remote attackers, reducing the risk for organizations that restrict physical or local access. The medium severity rating suggests that while the vulnerability is not critical, it should not be ignored, especially in high-value research or industrial environments where data integrity and availability are paramount.
Mitigation Recommendations
1. Restrict local access: Limit user permissions and local access to systems running HDF5 applications to trusted personnel only. 2. Monitor for updates: Continuously monitor HDF5 vendor channels and security advisories for patches addressing CVE-2025-2915 and apply them promptly once available. 3. Implement application sandboxing: Run HDF5-dependent applications within sandboxed or containerized environments to contain potential exploitation impact. 4. Conduct regular audits: Perform security audits and code reviews of applications using HDF5 to detect unusual behavior or attempts to exploit memory corruption. 5. Employ host-based intrusion detection: Use HIDS solutions to detect anomalous activities indicative of exploitation attempts on local systems. 6. Educate users: Train local users on the risks of executing untrusted code or files that interact with HDF5 libraries. 7. Use memory protection mechanisms: Enable operating system-level protections such as ASLR, DEP, and stack canaries to mitigate exploitation success. These measures collectively reduce the attack surface and limit the potential damage from this vulnerability beyond generic patching advice.
Affected Countries
Germany, France, United Kingdom, Netherlands, Switzerland, Sweden, Italy, Spain
CVE-2025-2915: Heap-based Buffer Overflow in HDF5
Description
A vulnerability classified as problematic was found in HDF5 up to 1.14.6. This vulnerability affects the function H5F__accum_free of the file src/H5Faccum.c. The manipulation of the argument overlap_size leads to heap-based buffer overflow. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-2915 is a heap-based buffer overflow vulnerability identified in the HDF5 library versions 1.14.0 through 1.14.6. The flaw exists in the function H5F__accum_free within the source file src/H5Faccum.c. Specifically, the vulnerability arises due to improper handling of the argument overlap_size, which can be manipulated to cause a heap overflow condition. This type of vulnerability can lead to memory corruption, potentially allowing an attacker to execute arbitrary code, cause a denial of service, or compromise data integrity. However, exploitation requires local access with at least low privileges (PR:L) and does not require user interaction or elevated privileges. The CVSS 4.0 base score is 4.8, indicating a medium severity level. The attack vector is local, meaning remote exploitation is not feasible without prior access. No known exploits are currently reported in the wild, but the exploit details have been publicly disclosed, increasing the risk of future exploitation. The vulnerability affects a widely used scientific data management library, HDF5, which is commonly employed in research, engineering, and scientific computing environments for storing and managing large and complex data sets. Given the local attack requirement, the threat is more relevant in environments where untrusted users have local system access or where multi-user systems run HDF5-based applications. The absence of patches in the provided data suggests that users should monitor vendor updates closely and apply fixes once available. Overall, this vulnerability poses a moderate risk primarily through local exploitation leading to potential memory corruption and system compromise in affected HDF5 deployments.
Potential Impact
For European organizations, the impact of CVE-2025-2915 depends largely on the extent to which HDF5 is used within their IT and research infrastructures. HDF5 is prevalent in scientific research institutions, universities, engineering firms, and industries dealing with large-scale data such as aerospace, automotive, and pharmaceuticals. A successful local exploit could allow an attacker with limited access to escalate privileges, execute arbitrary code, or disrupt data integrity, potentially compromising sensitive research data or critical operational systems. This could lead to intellectual property theft, disruption of scientific experiments, or loss of trust in data accuracy. In multi-user environments common in European research centers and universities, the risk is heightened if untrusted users share systems with HDF5 applications. However, the local attack vector limits the threat from remote attackers, reducing the risk for organizations that restrict physical or local access. The medium severity rating suggests that while the vulnerability is not critical, it should not be ignored, especially in high-value research or industrial environments where data integrity and availability are paramount.
Mitigation Recommendations
1. Restrict local access: Limit user permissions and local access to systems running HDF5 applications to trusted personnel only. 2. Monitor for updates: Continuously monitor HDF5 vendor channels and security advisories for patches addressing CVE-2025-2915 and apply them promptly once available. 3. Implement application sandboxing: Run HDF5-dependent applications within sandboxed or containerized environments to contain potential exploitation impact. 4. Conduct regular audits: Perform security audits and code reviews of applications using HDF5 to detect unusual behavior or attempts to exploit memory corruption. 5. Employ host-based intrusion detection: Use HIDS solutions to detect anomalous activities indicative of exploitation attempts on local systems. 6. Educate users: Train local users on the risks of executing untrusted code or files that interact with HDF5 libraries. 7. Use memory protection mechanisms: Enable operating system-level protections such as ASLR, DEP, and stack canaries to mitigate exploitation success. These measures collectively reduce the attack surface and limit the potential damage from this vulnerability beyond generic patching advice.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-03-28T11:01:40.970Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 688204c6ad5a09ad00345640
Added to database: 7/24/2025, 10:02:46 AM
Last enriched: 7/24/2025, 10:18:26 AM
Last updated: 10/20/2025, 3:56:37 AM
Views: 109
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